A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Recent Developments and Prospects for Modeling City Logistics
Recent developments in digital‐based technologies such as sensor networks as well as alternative fuel vehicles such as electric vans present many exciting opportunities for enhancing city logistics. This chapter describes how developments in simulation and optimization models are being applied to facilitate the implementation of contemporary concepts and utilize emerging advanced technologies for city logistics. It highlights recent advances in using Intelligent Transport Systems (ITS), Internet of Things (IoT), Physical Internet (PI), big data, co‐modality and electric vehicles. A combination of simulation and optimization procedures are required for planning, designing and operating connected city logistics schemes based on the PI concept as well as co‐modality systems. To achieve the aims of city logistics, there is a need to incorporate a wider range of objectives such as environment and social costs into vehicle routing and scheduling procedures. Multi‐agent models help us to understand the behavior of stakeholders who are involved in city logistics.
Recent Developments and Prospects for Modeling City Logistics
Recent developments in digital‐based technologies such as sensor networks as well as alternative fuel vehicles such as electric vans present many exciting opportunities for enhancing city logistics. This chapter describes how developments in simulation and optimization models are being applied to facilitate the implementation of contemporary concepts and utilize emerging advanced technologies for city logistics. It highlights recent advances in using Intelligent Transport Systems (ITS), Internet of Things (IoT), Physical Internet (PI), big data, co‐modality and electric vehicles. A combination of simulation and optimization procedures are required for planning, designing and operating connected city logistics schemes based on the PI concept as well as co‐modality systems. To achieve the aims of city logistics, there is a need to incorporate a wider range of objectives such as environment and social costs into vehicle routing and scheduling procedures. Multi‐agent models help us to understand the behavior of stakeholders who are involved in city logistics.
Recent Developments and Prospects for Modeling City Logistics
Taniguchi, Eiichi (editor) / Thompson, Russell G. (editor)
City Logistics 1 ; 1-27
2018-05-30
27 pages
Article/Chapter (Book)
Electronic Resource
English
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